Technology

Autonomous Driving: Assessment Of YOLO Algorithms (RMIT et al.)

Source

SemiEngineering

Published

Feb 11, 2026

TL;DR

AI Generated

A technical paper titled “Advances in You Only Look Once (YOLO) algorithms for lane and object detection in autonomous vehicles” was published by RMIT University, Kyungpook National University, Deakin University, and the RCA Robotics Laboratory. The paper discusses the importance of accurate perception in Autonomous Vehicles (AVs) for lane detection and object recognition. It highlights the benefits and limitations of YOLO algorithms in real-world environments, emphasizing the need for improvements in detecting lane markings, adapting to various driving conditions, and handling environmental factors. The paper provides insights for researchers, engineers, and policymakers to enhance AV navigation systems for increased safety and reliability.

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